Anthropic has launched an early-warning system to detect potential AI-driven job displacement in white-collar sectors. While current data shows limited evidence of AI impacting overall joblessness, the system aims to proactively track economic disruption. By analyzing occupation tasks and the potential for large language models to perform them, Anthropic identifies highly exposed jobs like computer programming (75% task coverage) and customer service. Although workers in these roles haven't seen significantly higher unemployment rates, Anthropic's anonymized data suggests a slowdown in hiring for younger workers (ages 22-25) in AI-exposed occupations, indicating they are among the first affected. This initiative seeks to provide economists with a roadmap for identifying subtle AI-related employment trends, especially when effects are ambiguous and may take years to become clear in aggregate statistics, similar to past economic shifts like the "China shock."